Triple

T12336198
Position Surface form Disambiguated ID Type / Status
Subject Lockheed L-188 Electra E294090 entity
Predicate airlineOperator P89671 FINISHED
Object Varig E118834 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Varig | Statement: [Lockheed L-188 Electra, airlineOperator, Varig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varig
Context triple: [Lockheed L-188 Electra, airlineOperator, Varig]
  • A. Varig chosen
    Varig was Brazil’s former flagship airline, once the country’s largest carrier and a major international operator throughout much of the 20th century.
  • B. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • C. Varia
    Varia is a village on the island of Lesbos in Greece, known for hosting the Tériade Museum of Modern Art.
  • D. Váli
    Váli is a Norse god, one of Odin's sons, known primarily for avenging the death of his half-brother Baldr.
  • E. Val Varaita
    Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f6683e881908920e1fee02a14e3 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa5f21c8190bcb32a078a2f7ebb completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.